Diagnosis methods for pancreatic cancer with the technique of deep learning: a review and a meta-analysis.

Background: Early diagnosis can significantly improve survival rate of Pancreatic ductal adenocarcinoma (PDAC), but due to the insidious and non-specific early symptoms, most patients are not suitable for surgery when diagnosed. Traditional imaging techniques and an increasing number of non-imaging diagnostic methods have been used for the early diagnosis of pancreatic cancer (PC) through deep learning (DL).

Objective: This review summarizes diagnosis methods for pancreatic cancer with the technique of deep learning and looks forward to the future development directions of deep learning for early diagnosis of pancreatic cancer.

Mechanisms and Therapeutic Advances of PXR in Metabolic Diseases and Cancer.

The pregnane X receptor (PXR), a ligand-activated nuclear receptor, plays a central role in regulating the metabolism of both endogenous substances and xenobiotics. In recent years, increasing evidence has highlighted its involvement in chronic diseases, particularly metabolic disorders and cancer. PXR modulates drug-metabolizing enzymes, transporters, inflammatory factors, lipid metabolism, and immune-related pathways, contributing to the maintenance of hepatic-intestinal barrier homeostasis, energy metabolism, and inflammatory responses.

Case report: A successful case of targeted immunotherapy for locally advanced pancreatic cancer under non-surgical conditions.

Introduction: Locally advanced pancreatic cancer (LAPC) is a borderline unresectable malignancy that presents significant treatment challenges. The management of LAPC remains a complex issue, particularly in patients who are not eligible for surgical resection.

Case: Here, we report the case of a 60-year-old woman diagnosed with LAPC through pathological biopsy who subsequently underwent targeted immunotherapy following the failure of a gemcitabine, oxaliplatin, and S-1 (G&S) chemotherapy regimen.

Design and Depth Control of a Buoyancy-Driven Profiling Float.

This paper presents the design and fabrication of a profiling float primarily used for thermocline observations and tracking, with an emphasis on depth control performance. The proposed float consists of a frame-type electronic chamber and a variable buoyancy system (VBS) actuator chamber. Components or sensors can be added or removed according to specific requirements.